Fujitsu Eternus all-flash storage speeds HANA workloads

Jun 6, 2017

Fujitsu today announced that its Fujitsu Eternus AF650 all-flash system is now certified by SAP as an enterprise storage solution for the SAP HANA platform.
Available as a stand-alone solution or as part of the integrated system PrimeFlex for SAP HANA, the Eternus AF650 supports ultra-reliable non-stop operations for in-memory computing systems running on SAP HANA, delivering an impressive 12TB of main memory storage capacity, and total capacity of some 3PB.
With all-flash drives now gaining mainstream acceptance for use with enterprise applications and databases, lightning-fast response times from the Fujitsu Eternus AF650 enhance the performance of workloads running on SAP HANA – supporting a high level of data availability and integrity. System improvements mean reduced power consumption, helping lower operational expense.
The Eternus AF650 also takes up less space on the data center floor than previous-generation systems providing equivalent storage capacities. This capacity can be further extended by Fujitsu’s market-leading deduplication and data compression technologies, providing real-world usable storage capacities up to five-times these volumes, depending on data type.
The faster response times from all-flash systems also make server and desktop virtualization more accessible. Fujitsu has integrated the entry-level Eternus AF250 into the PrimeFlex vShape solution, providing up to 740TB of all-flash capacity. Thanks to faster data throughput, organizations can now run more virtual machines from a single system. PrimeFlex vShape is certified for virtualization software from market leaders VMware and Microsoft. PrimeFlex vShape is also available with a NetApp all-flash FAS system.
Meanwhile, for organizations looking to provide the expansion space for next-generation hyperscale data environments, Fujitsu’s high-end Eternus DX8000 storage systems now deliver all-flash SSD capacities of up to 70PB – enough to provide headroom for even highly aggressive and unpredictable data-growth scenarios.